Triple

T9079829
Position Surface form Disambiguated ID Type / Status
Subject Grover Beach E217587 entity
Predicate locatedNear P294 FINISHED
Object Arroyo Grande E186458 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Arroyo Grande | Statement: [Grover Beach, locatedNear, Arroyo Grande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arroyo Grande
Context triple: [Grover Beach, locatedNear, Arroyo Grande]
  • A. Arroyo Grande chosen
    Arroyo Grande is a small coastal city in California known for its historic village, agricultural surroundings, and proximity to the beaches of the Central Coast.
  • B. Big Arroyo
    Big Arroyo is a remote glacially carved valley and drainage in Sequoia National Park’s high Sierra Nevada, known for its rugged alpine scenery and backcountry hiking routes.
  • C. Moraga Creek
    Moraga Creek is a small waterway in Contra Costa County, California, that flows through the town of Moraga and contributes to the local watershed and natural landscape.
  • D. San Luis Obispo Creek
    San Luis Obispo Creek is a small coastal stream in California that flows through the city of San Luis Obispo before emptying into the Pacific Ocean near Avila Beach.
  • E. La Merced
    La Merced is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c93ee48190842623b57e50f4cf completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02ffa9fb88190ab088be46b566ae8 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:13 p.m.